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Conference Papers Year : 2021

2D Nanomaterials for Advancing Neuromorphic Computing

Aida Todri-Sanial

Abstract

Current classical computers are playing a critical role in advanced research such as in biology, climate analysis, economics, genomics, finance, etc. In many aspects, computing fuels the advances of our modern society. Yet, recent developments in artificial intelligence (AI) and machine learning will require even more powerful computing systems such as exascale computations per second due to an ever-increasing amount of data. But classical computing systems are hindered by the von-Neumann communication bottleneck, the physical separation between processor and memory. This offers the opportunity to explore a novel computing paradigm where the brain can serve as a computational model of how to deal with large amounts of (often fuzzy) information while being extremely dense, error-resilient and power efficient.
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Dates and versions

lirmm-03354059 , version 1 (11-11-2021)

Identifiers

  • HAL Id : lirmm-03354059 , version 1

Cite

Aida Todri-Sanial. 2D Nanomaterials for Advancing Neuromorphic Computing. 2DMAT 2021 - Global Summit and Expo on Graphene and 2D Materials, Aug 2021, Paris, France. pp.106. ⟨lirmm-03354059⟩
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